Photographing effect automatic optimization method and device, storage medium and terminal equipment

Abstract

The invention discloses a photographing effect automatic optimization method. The method comprises the following steps: acquiring an ambient light signal of current photographing; generating an initial image according to the ambient light signal and a preset fixed effect parameter; performing photographing scene recognition according to the initial image to obtain a plurality of scene recognition results; obtaining an optimal effect parameter according to the plurality of scene recognition results, a preset basic effect parameter and a preset scene effect parameter; and optimizing the initial image according to the optimal effect parameter to generate an optimized image. Correspondingly, the invention further discloses a photographing effect automatic optimization device, a computer readable storage medium and terminal equipment. By adopting the technical scheme of the invention, the photographing effect in a complex photographing scene can be automatically optimized, and the optimization effect and the user experience are improved.

Description

technical field [0001] The present invention relates to the technical field of photographing, and in particular to a method, device, computer-readable storage medium and terminal equipment for automatic optimization of photographing effects. Background technique [0002] When users use mobile terminals to take pictures, they often need to manually adjust the shooting parameters, or manually post-process the photos to get ideal photos. This process is not friendly to users who lack photography and post-processing experience. Therefore, mobile The camera of the terminal needs to have the function of automatically optimizing the shooting parameters according to the shooting scene. [0003] At present, some mobile terminal cameras have integrated the function of intelligently identifying the photographing scene and automatically optimizing the photographing parameters. This function can identify the photographing scene in real time according to the input of the camera preview sc...

AI Technical Summary

Problems solved by technology

[0004] However, in the automatic optimization method provided by the prior art, at the same photographing moment, the scene recognition result is only a single scene, and the optimization method corresponding to the single scene can only be called, but in many cases in the actual photographing environment, multiple For the scene, the recognition algorithm will return the confidence results of multiple scenes accordingly. If only one scene recognition result is selected as the final recognized scene, other scenes may not be optimized properly, or negative optimization effects may occur, resulting in poor optimization effect , poor user experience

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